COVID-19 大流行期间塞尔维亚的同工同酬和就业情况

Kosovka Ognjenović
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摘要

导言和目标:在 COVID-19 大流行之前,塞尔维亚属于转型后国家,这些国家决心通过改进体制框架和促进妇女就业的措施来减少劳动力市场中的两性不平等现象。然而,男女工资差距仍然很大。本文利用 "收入和生活条件调查 "的数据来研究塞尔维亚的性别工资差距。方法:采用最大似然估计法获得随机前沿模型的估计值。结果:结果表明,男女工资差距在统计意义上是显著的,显示在 2019 年和 2020 年,女性的对数小时工资分别比男性低 0.109 和 0.098。劳动力市场显示出相似的雇员效率。结论根据预测,即使控制了观察到的因素,女性的工资仍低于男性。与之前的研究结果相比,可以得出结论:COVID-19 大流行导致塞尔维亚劳动力市场的性别不平等现象略有恶化。影响和研究限制:妇女离开劳动力队伍、从事非全日制工作或从事福利较低的工作,都会加剧其经济脆弱性。妇女在劳动力市场中的后一种地位或她们被养老金和社会保障体系视为潜在受益人是对公共政策 产生实际影响的两种方式。利用《19 世纪性别暴力与发展》之后的数据进行类似研究,对于评估妇女在劳动力市场中的地位变化具有重要价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Equal Pay and Employment in Serbia During the COVID-19 Pandemic
Introduction and objectives: Before the COVID-19 pandemic, Serbia belonged to the group of post-transition countries that were determined to reduce gender inequalities in the labour market through an improved institutional framework and measures to promote women's employment. However, the gender wage gap remains significant. This paper uses data from the Survey on Income and Living Conditions to examine the gender wage gap in Serbia. Methods: The estimates of the stochastic frontier model were obtained using the maximum likelihood estimation method. Results: The results indicate a statistically significant gender wage gap, showing that women on average have a log hourly wage 0.109 and 0.098 lower than men in 2019 and 2020, respectively. The labour market shows similar efficiency of employees. Conclusion: It is predicted that women are paid less than men, even after controlling for the observed factors. Comparing this with the results of previous studies, it can be concluded that the COVID-19 pandemic has contributed to a slight worsening of gender inequalities in the Serbian labour market. Implications and research limitation: Women's financial vulnerability can be exacerbated by leaving the workforce, taking up part-time employment or working in a job with lower benefits. The latter position of women in the labour market or their recognition as potential beneficiaries by pension and social security systems are two ways in which this has practical implications for the public policy. Similar research using data from the post-COVID-19 period would be of great value in assessing changes in women's position in the labour market.
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